library(ggplot2)
library(dplyr)
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library(tidyverse)
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library(arsenal)
library(data.table)
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library(expss)
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sleephygiene <- read_csv("/Users/Ivanics/Desktop/SPH/4th term/HealthComm/Qualtrics post/Sleep Hygiene Post-Survey_May 3, 2021_16.45.csv")
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sleephygiene$StartDate <- lubridate::ymd_hms(sleephygiene$StartDate)
## Warning: 2 failed to parse.
#Filter to include only responses beyond this time
sleephygiene <- sleephygiene %>% filter(StartDate >= "2021-04-29 00:00:00")

#Select out the variables we need
sleephygiene <- sleephygiene %>% select(Progress, `Duration (in seconds)`, Finished, LocationLatitude, LocationLongitude, DistributionChannel, UserLanguage, Q1, Q2, Q3, Q2_5_TEXT, Q4, Q5, Q6, Q37, Q92, Q93, Q94,  Q38, Q39, Q10_2, Q10_3, Q9, Q61, Q84, Q85, Q81, Q63, Q96_1, Q96_2, Q96_3, Q96_4, Q96_5, Q96_6, Q96_7, Q96_8, Q95, Q83, Q82, Q69, Q62, Q64, Q90, Q91, Q89_1, Q67_1, Q67_2, Q67_3, Q75_1, Q75_2, Q75_3, Q68, Q70, Q70_18_TEXT, Q87, Q71, Q72, Q79, Q79_5_TEXT, Q74, Q73, Q73_5_TEXT, Q59_1, Q59_2, Q59_3, Q59_4, Q44_1, Q44_2, Q44_3, Q44_4, Q44_5, Q44_6, Q44_7, Q44_8, Q44_9, Q52)

sleephygiene <- rowid_to_column(sleephygiene, "ID")
#General factor recoding
sleephygiene <- sleephygiene %>% mutate(
  Q1_consent = factor(Q1)) %>%
  mutate(Q2_program = factor(Q2)) %>%
  mutate(Q3_role = factor(Q3)) %>%
  mutate(Q4_gender = factor(Q4)) %>%
  mutate(Q5_age = factor(Q5)) %>%
  mutate(Q6_numberinhousehold = as.numeric(Q6)) %>%
  mutate(Q37_employed = factor(Q37)) %>%
  mutate(Q92_notSPHemployed = factor(Q92)) %>%
  mutate(Q93_worksetting = factor(Q93)) %>%
  mutate(Q94_dayornight = factor(Q94)) %>%
  mutate(Q38_worksetting = factor(Q38)) %>%
  mutate(Q39_dayornight = factor(Q39)) %>%
  mutate(Q10_hoursofsleeplast5workdays = as.numeric(Q10_2)) %>%
  mutate(Q10_hoursofsleeppastweekend = as.numeric(Q10_3)) %>%
  mutate(Q9_howoftensleepypastmonth = factor(Q9)) %>%
  mutate(Q61_howoftensleepypasttwoweeks = factor(Q61)) %>%
  mutate(Q84_awareofhowtoimprovesleepquality = factor(Q84)) %>%
  mutate(Q81_seenorheardfromGNbloombergcampaign = factor(Q81)) %>%
  mutate(Q63_recalltoolsfreetect = factor(Q63)) %>%
  mutate(Q96_picture1 = factor(Q96_1)) %>%
  mutate(Q96_picture2 = factor(Q96_2)) %>%
  mutate(Q96_picture3 = factor(Q96_3)) %>%
  mutate(Q96_picture4 = factor(Q96_4)) %>%
  mutate(Q96_picture5 = factor(Q96_5)) %>%
  mutate(Q96_picture6 = factor(Q96_6)) %>%
  mutate(Q96_picture7 = factor(Q96_7)) %>%
  mutate(Q96_picture8 = factor(Q96_8)) %>%
  mutate(Q95_talkedtoanyone = factor(Q95)) %>%
  mutate(Q82_knowanyonewhoengaged = factor(Q82)) %>%
  mutate(Q69_didyouengagewiththecampaign = factor(Q69)) %>%
  mutate(Q90_areyouhappywithyoursleepquality_awareofcampaign = factor(Q90)) %>%
  mutate(Q91_areyouhappywithyoursleepquality_notawareofcampaign = factor(Q91)) %>%
  mutate(Q89_ratesleepquality_notawareofcampaign = factor(Q89_1)) %>%
  mutate(Q67_move30minutes = as.numeric(Q67_1)) %>%
  mutate(Q67_breathing = as.numeric(Q67_2)) %>%
  mutate(Q67_powerdown = as.numeric(Q67_2)) %>%
  mutate(Q75_moving = factor(Q75_1)) %>%
  mutate(Q75_breathing = factor(Q75_2)) %>%
  mutate(Q75_powerdown = factor(Q75_3)) %>%
  mutate(Q68_timing = factor(Q68)) %>%
  mutate(Q87_idealtime = factor(Q87)) %>%
  mutate(Q74_rafflemotivating = factor(Q74)) %>%
  mutate(Q75_moving = factor(Q75_1)) %>%
  mutate(Q59_canmaintainhealthysleephabits = factor(Q59_1)) %>%
  mutate(Q59_cancutoutscreen = factor(Q59_2)) %>%
  mutate(Q59_canexercise = factor(Q59_3)) %>%
  mutate(Q59_canparticipateinbreathing = factor(Q59_4)) %>%
  mutate(Q44_goodnightsleepisimportant = factor(Q44_1)) %>%
  mutate(Q44_mentalclarity = factor(Q44_2)) %>%
  mutate(Q44_feelpositive = factor(Q44_3)) %>%
  mutate(Q44_cuttingoutscreenleadstobettersleep = factor(Q44_4)) %>%
  mutate(Q44_exercisingleadstobettersleep = factor(Q44_5)) %>%
  mutate(Q44_breathingexercisesleadstobettersleep = factor(Q44_6)) %>%
  mutate(Q44_iwillstopscreens = factor(Q44_7)) %>%
  mutate(Q44_iwillexercise = factor(Q44_8)) %>%
  mutate(Q44_iwillbreathe = factor(Q44_9)) %>%
  mutate(Q52_additionalcomments = factor(Q52))
#Q85
resp.split_85 <- strsplit(sleephygiene$Q85, ",")
lev <- unique(unlist(resp.split_85))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_85, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q85_waystoimprovesleepquality = case_when(
    Not.drinking.caffeinated.beverages.late.in.the.day == 1 ~ "Not drinking caffeinated beverages late in the day",
    Switching.off.electronics.one.hour.before.sleep == 1 ~ "Switching off electronics one hour before sleep",
    Incorporating.moderate.exercise.as.part.of.your.day == 1 ~ "Incorporating moderate exercise as part of your day",
    Increase.natural.bright.light.exposure.in.the.day == 1 ~ "Increase natural bright light exposure in the day",
    Reduce.irregular.or.long.daytime.naps == 1 ~ "Reduce irregular or long daytime naps",
    Try.to.sleep.and.wake.at.consistent.times == 1 ~ "Try to sleep and wake at consistent times",
    Take.a.melatonin.supplement == 1 ~ "Take a melatonin supplement",
    Decrease.alcohol.consumption == 1 ~ "Decrease alcohol consumption",
    Deep.breathing.exercises == 1 ~ "Deep breathing exercises"))

#Q83
resp.split_83 <- strsplit(sleephygiene$Q83, ",")
lev <- unique(unlist(resp.split_83))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_83, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q83_talkedtowho = case_when(
    Friends == 1 ~ "Friends",
    Spouse == 1 ~ "Spouse",
    Relatives == 1 ~ "Relatives",
    Colleague == 1 ~ "Colleague"))

#Q62
resp.split_62 <- strsplit(sleephygiene$Q62, ",")
lev <- unique(unlist(resp.split_62))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_62, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q62_howdidyouengage = case_when(
    Instagram.campaign == 1 ~ "Instagram campaign",
    Text.message.campaign == 1 ~ "Text message campaign",
    Word.of.mouth.discussion.with.others == 1 ~ "Word of mouth/discussion with others"))

#64
resp.split_64 <- strsplit(sleephygiene$Q64, ",")
lev <- unique(unlist(resp.split_64))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_64, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q64_whichtechniquedidyoutry = case_when(
    X.MoveMore == 1 ~ "Movemore",
    X.Breathe== 1 ~ "Breathe",
    X.PowerDown == 1 ~ "Powerdown",
    None.of.the.above == 1 ~ "None of the above"))

#70
resp.split_70 <- strsplit(sleephygiene$Q70, ",")
lev <- unique(unlist(resp.split_70))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_70, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q70_timingoftextsinconvenient = case_when(
    #Messages.were.too.frequent == 1 ~ "Messages were too frequent",
    Messages.were.too.infrequent== 1 ~ "Messages were too infrequent",
    Received.message.too.early.in.the.day == 1 ~ "Received message too early in the day",
    #Received.message.too.late.in.the.day == 1 ~ "Received message too late in the day",
    Other..please.explain.below. == 1 ~ "Other (please explain below)"))

#71
resp.split_71 <- strsplit(sleephygiene$Q71, ",")
lev <- unique(unlist(resp.split_71))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_71, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q71_whichchannelmosteducational = case_when(
    Text == 1 ~ "Text",
    Instagram == 1 ~ "Instagram"))
    #Discussion.with.others.about.the.campaign == 1 ~ "Discussion with others about the campaign",
    #None.of.the.above.1 == 1 ~ "None of the above"))

#72 - look into


#Q79
resp.split_79 <- strsplit(sleephygiene$Q79, ",")
lev <- unique(unlist(resp.split_79))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_79, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q79_moresuccessfuloutcomsuggestions = case_when(
    There.was.an.in.person.on.campus.component.to.the.campaign == 1 ~ "There was an in-person/on-campus component to the campaign",
    The.campaign.was.longer == 1 ~ "The campaign was longer",
    I.had.more.flexibility.in.my.day == 1 ~ "I had more flexibility in my day",
    There.were.subject.matter.experts.checking.in.with.me.one.on.one == 1 ~ "There were subject matter experts checking in with me one-on-one"))
    #Other == 1 ~ "Reduce irregular or long daytime naps",

#Q73
resp.split_73 <- strsplit(sleephygiene$Q73, ",")
lev <- unique(unlist(resp.split_73))
sleephygiene<- with(sleephygiene, data.frame(sleephygiene, t(sapply(resp.split_73, function(x) table(factor(x, levels=lev))))))

sleephygiene <- sleephygiene %>%
    mutate(Q73_hearabouthow = case_when(
    Instagram.1 == 1 ~ "Instagram",
    JHSPH.Activities.email == 1 ~ "JHSPH Activities email",
    #Class.announcement == 1 ~ "Class announcement",
    Word.of.mouth.discussion.with.others.1 == 1 ~ "Word of mouth/discussion with others"))
    #Other == 1 ~ "Reduce irregular or long daytime naps",

Plots for wakeup and sleep times

library(plotly)
## 
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## The following object is masked from 'package:ggplot2':
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## 
##     layout
workdayssleep <- sleephygiene %>% ggplot( aes(x=Q10_hoursofsleeplast5workdays)) +
    geom_histogram( binwidth=1, fill="#69b3a2", color="#e9ecef", alpha=0.9) +
    ggtitle("Hours of sleep last five workdays") +
    theme(
      plot.title = element_text(size=32)
    ) +
  labs(x="Number of hours of sleep in the past five workdays", y="Number of participants")
ggplotly(workdayssleep)
## Warning: Removed 2 rows containing non-finite values (stat_bin).
#Plot for weekend
weekend <- sleephygiene %>% ggplot( aes(x=Q10_hoursofsleeppastweekend)) +
    geom_histogram( binwidth=1, fill="#69b3a2", color="#e9ecef", alpha=0.9) +
    ggtitle("Hours of sleep last weekend") +
    theme(
      plot.title = element_text(size=32)
    ) +
  labs(x="Number of hours of sleep in the past weekend", y="Number of participants")
ggplotly(weekend)
## Warning: Removed 2 rows containing non-finite values (stat_bin).
#Tab 1
sleephygiene$Q9_howoftensleepypastmonth <- factor(sleephygiene$Q9_howoftensleepypastmonth, levels = c("Never", "Rarely", "Sometimes", "Very often", "Always"))
sleephygiene$Q61_howoftensleepypasttwoweeks <- factor(sleephygiene$Q61_howoftensleepypasttwoweeks, levels = c("Never", "Rarely", "Sometimes", "Very often", "Always"))
sleephygiene$Q89_ratesleepquality_notawareofcampaign <- factor(sleephygiene$Q89_ratesleepquality_notawareofcampaign, levels = c("Poor", "Fair", "Good", "Excellent"))
sleephygiene$Q75_moving <- factor(sleephygiene$Q75_moving, levels = c("Extremely unhelpful", "Somewhat unhelpful", "Neither helpful nor unhelpful", "Somewhat helpful", "Extremely helpful"))
sleephygiene$Q75_breathing <- factor(sleephygiene$Q75_breathing, levels = c("Extremely unhelpful", "Somewhat unhelpful", "Neither helpful nor unhelpful", "Somewhat helpful", "Extremely helpful"))
sleephygiene$Q75_powerdown <- factor(sleephygiene$Q75_powerdown, levels = c("Extremely unhelpful", "Somewhat unhelpful", "Neither helpful nor unhelpful", "Somewhat helpful", "Extremely helpful"))
sleephygiene$Q87_idealtime <- factor(sleephygiene$Q87_idealtime, levels = c("Early morning (6:00 am - 9:00 am)", "Late morning (9:01 am - 12:00 pm)", "Early afternoon (12:01 pm - 3:00 pm)", "Late afternoon (3:01 pm - 6:00 pm)", "Early evening (6:01 pm - 9:00 pm)", "Late evening (9:01 pm - 12:00 am)", "Other (please specify)"))
sleephygiene$Q59_canmaintainhealthysleephabits <- factor(sleephygiene$Q59_canmaintainhealthysleephabits, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q59_cancutoutscreen <- factor(sleephygiene$Q59_cancutoutscreen, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q59_canexercise <- factor(sleephygiene$Q59_canexercise, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q59_canparticipateinbreathing <- factor(sleephygiene$Q59_canparticipateinbreathing, levels = c("Not at all confident", "Somewhat confident", "Extremely confident"))
sleephygiene$Q44_goodnightsleepisimportant <- factor(sleephygiene$Q44_goodnightsleepisimportant, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_mentalclarity <- factor(sleephygiene$Q44_mentalclarity, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_feelpositive <- factor(sleephygiene$Q44_feelpositive, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_cuttingoutscreenleadstobettersleep <- factor(sleephygiene$Q44_cuttingoutscreenleadstobettersleep, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_exercisingleadstobettersleep <- factor(sleephygiene$Q44_exercisingleadstobettersleep, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_breathingexercisesleadstobettersleep <- factor(sleephygiene$Q44_breathingexercisesleadstobettersleep, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_iwillstopscreens <- factor(sleephygiene$Q44_iwillstopscreens, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_iwillexercise <- factor(sleephygiene$Q44_iwillexercise, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))
sleephygiene$Q44_iwillbreathe <- factor(sleephygiene$Q44_iwillbreathe, levels = c("Strongly disagree", "Somewhat disagree", "Neither agree nor disagree", "Somewhat agree", "Strongly agree"))

library(expss)
sleephygiene = apply_labels(sleephygiene,
                      Q3_role = "What is your role at Bloomberg",
                      Q4_gender = "Which best describes your gender identity?",
                      Q2_program = "What is your current program at Bloomberg?",
                      Q5_age = "How old are you?",
                      Q6_numberinhousehold = "How many people live in your household, including yourself?",
                      Q37_employed = "If you are a student at Bloomberg, are you currently employed outside of your education program?",
                      Q92_notSPHemployed = "Are you currently employed?",
                      Q93_worksetting = "Which of the following best describes your current work setting?",
                      Q94_dayornight = "Do you work day or night shifts?",
                      Q38_worksetting = "Which of the following best describes your current work setting?",
                      Q39_dayornight = "Do you work day or night shifts?",
                      Q10_hoursofsleeplast5workdays = "On average, how many hours of sleep did you get per night during the following periods of time: during the last 5 workdays?",
                      Q10_hoursofsleeppastweekend = "On average, how many hours of sleep did you get per night during the following periods of time: during the past weekend?",
                      Q9_howoftensleepypastmonth = "How often did you feel sleepy during the day in the past month?",
                      Q61_howoftensleepypasttwoweeks = "How often did you feel sleepy during the day during the past 2 weeks?",
                      Q84_awareofhowtoimprovesleepquality = "Do you know any ways a person can improve their sleep quality?",
                      Q85_waystoimprovesleepquality = "What are some of the ways to improve sleep quality that you know?",
                      Q81_seenorheardfromGNbloombergcampaign = "In the last two-three weeks have you heard, seen, or received any information from the #GoodnightBloomberg campaign led by JHSPH students promoting better sleep?",
                      Q63_recalltoolsfreetect = "Can you recall any specific tools, techniques, or resources from the campaign? Please describe below.",
                      Q96_picture1 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 1",
                      Q96_picture2 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 2",
                      Q96_picture3 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 3",
                      Q96_picture4 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 4",
                      Q96_picture5 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 5",
                      Q96_picture6 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 6",
                      Q96_picture7 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 7",
                      Q96_picture8 = "Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 8",
                      Q95_talkedtoanyone = "Have you talked to anyone about the #GoodnightBloomberg campaign?",
                      Q83_talkedtowho = "Please indicate with whom you talked about #GoodnightBloomberg (check all that apply).",
                      Q82_knowanyonewhoengaged = "Do you know anyone who engaged in any way with the #GoodnightBloomberg campaign about promoting better sleep?",
                      Q69_didyouengagewiththecampaign = "Did you engage in any way with the #GoodnightBloomberg campaign led by JHSPH students during the past 2 weeks?",
                      Q62_howdidyouengage = "Please select which of the following parts of the #GoodnightBloomberg campaign you engaged in:",
                      Q64_whichtechniquedidyoutry = "Which of the following techniques did you try at least once in the last 2 weeks (choose all that apply)?", 
                      Q90_areyouhappywithyoursleepquality_awareofcampaign = "Are you happy with your sleep quality overall currently?", 
                      Q91_areyouhappywithyoursleepquality_notawareofcampaign = "Are you happy with your sleep quality overall currently?", 
                      Q89_ratesleepquality_notawareofcampaign = "Please rate your sleep quality from the following options: In the last two weeks? (on average)",
                      Q67_move30minutes =  "In the last two weeks, how many days did you participate in the following techniques? Move 30 minutes total per day",
                      Q67_breathing = "In the last two weeks, how many days did you participate in the following techniques? Use a breathing exercise",
                      Q67_powerdown = "In the last two weeks, how many days did you participate in the following techniques? Power down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed",
                      Q75_moving = "How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Moving 30 minutes total per day",
                      Q75_breathing = "How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Using a breathing exercise",
                      Q75_powerdown = "How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Powering down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed",
                      Q68_timing = "Was the timing of the texts/posts convenient for you to adopt the recommended activity? ",
                      Q70_timingoftextsinconvenient = "Please provide information below about why the timing of the texts/posts was inconvenient?", 
                      Q87_idealtime = "What would have been the ideal time to receive the message (EST/EDT)?",
                      Q71_whichchannelmosteducational = "Which channel did you find the most educational?",
                      Q79_moresuccessfuloutcomsuggestions = "I think I would have had a more successful outcome (e.g. better sleep quality) if (choose all that may apply):",
                      Q74_rafflemotivating = "Did you find the raffles motivating for participation in the #GoodnightBloomberg campaign?",
                      Q73_hearabouthow = "How did you hear about the #GoodnightBloomberg campaign?",
                      Q59_canmaintainhealthysleephabits = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can maintain healthy sleep habits.",
                      Q59_cancutoutscreen = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can cut out screen use 1 hour before bed.",
                      Q59_canexercise = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can exercise for 30 minutes total each day.", 
                      Q59_canparticipateinbreathing = "Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can participate in a breathing exercise during the day or before bed.", 
                      Q44_goodnightsleepisimportant = "Please rate your agreement with the following statements: Getting a good night's sleep is important to me.",
                      Q44_mentalclarity = "Please rate your agreement with the following statements: Having a regular sleep routine improves mental clarity/sharpness.",
                      Q44_feelpositive = "Please rate your agreement with the following statements: I feel positive about the quality of my sleep.",
                      Q44_cuttingoutscreenleadstobettersleep = "Please rate your agreement with the following statements: I think cutting out screen use 1 hour before bed leads to better sleep.",
                      Q44_exercisingleadstobettersleep = "Please rate your agreement with the following statements: I think exercising regularly leads to better sleep.",
                      Q44_breathingexercisesleadstobettersleep = "Please rate your agreement with the following statements: I think participating in breathing exercises during the day or before bed leads to better sleep.",
                      Q44_iwillstopscreens = "Please rate your agreement with the following statements: In the next two weeks, I will stop using screens 1 hour before bed for better sleep.",
                      Q44_iwillexercise = "Please rate your agreement with the following statements: In the next two weeks, I will exercise for at least 30 minutes total each day for better sleep.",
                      Q44_iwillbreathe = "Please rate your agreement with the following statements: In the next two weeks, I will do a daily breathing exercise for better sleep.",
                      Q52_additionalcomments = "Please share any additional comments or feedback you have about the #GoodnightBloomberg sleep campaign below."
                      )
attach(sleephygiene)
tab1 <- tableby(~ Q3_role + 
                  Q4_gender +
                  Q5_age +
                  Q6_numberinhousehold +
                  Q37_employed +
                  Q10_hoursofsleeplast5workdays +
                  Q10_hoursofsleeppastweekend +
                  Q9_howoftensleepypastmonth +
                  Q61_howoftensleepypasttwoweeks +
                  Q84_awareofhowtoimprovesleepquality +
                  Q81_seenorheardfromGNbloombergcampaign +
                  #Q63_recalltoolsfreetect +
                  Q96_picture1 +
                  Q96_picture2 +
                  Q96_picture3 +
                  Q96_picture4 +
                  Q96_picture5 +
                  Q96_picture6 +
                  Q96_picture7 +
                  Q96_picture8 +
                  Q95_talkedtoanyone +
                  Q82_knowanyonewhoengaged +
                  Q69_didyouengagewiththecampaign +
                  Q67_move30minutes +
                  Q67_breathing +
                  Q67_powerdown +
                  Q68_timing + 
                  Q79_moresuccessfuloutcomsuggestions +
                  Q59_canmaintainhealthysleephabits +
                  Q59_cancutoutscreen +
                  Q59_canexercise +
                  Q59_canparticipateinbreathing +
                  Q44_goodnightsleepisimportant +
                  Q44_mentalclarity +
                  Q44_feelpositive +
                  Q44_cuttingoutscreenleadstobettersleep +
                  Q44_exercisingleadstobettersleep +
                  Q44_breathingexercisesleadstobettersleep +
                  Q44_iwillstopscreens +
                  Q44_iwillexercise +
                  Q44_iwillbreathe,
                data=sleephygiene, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab1, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=41)
What is your role at Bloomberg
   N-Miss 2
   Faculty/Staff Member 4 (10.3%)
   Full-time student 21 (53.8%)
   Part-time student 14 (35.9%)
Which best describes your gender identity?
   N-Miss 2
   Female 32 (82.1%)
   Male 6 (15.4%)
   Non-binary / third gender 1 (2.6%)
How old are you?
   N-Miss 2
   18-25 10 (25.6%)
   26-34 16 (41.0%)
   35-44 6 (15.4%)
   45-54 7 (17.9%)
How many people live in your household, including yourself?
   Median (Q1, Q3) 2.00 (2.00, 3.00)
If you are a student at Bloomberg, are you currently employed outside of your education program?
   N-Miss 2
   N/A - I am not a student at Bloomberg 4 (10.3%)
   No 19 (48.7%)
   Yes 16 (41.0%)
On average, how many hours of sleep did you get per night during the following periods of time: during the last 5 workdays?
   Median (Q1, Q3) 7.00 (6.00, 7.00)
On average, how many hours of sleep did you get per night during the following periods of time: during the past weekend?
   Median (Q1, Q3) 8.00 (7.00, 8.00)
How often did you feel sleepy during the day in the past month?
   N-Miss 13
   Never 1 (3.6%)
   Rarely 5 (17.9%)
   Sometimes 20 (71.4%)
   Very often 0 (0.0%)
   Always 2 (7.1%)
How often did you feel sleepy during the day during the past 2 weeks?
   N-Miss 10
   Never 2 (6.5%)
   Rarely 5 (16.1%)
   Sometimes 21 (67.7%)
   Very often 0 (0.0%)
   Always 3 (9.7%)
Do you know any ways a person can improve their sleep quality?
   N-Miss 1
   Yes 40 (100.0%)
In the last two-three weeks have you heard, seen, or received any information from the #GoodnightBloomberg campaign led by JHSPH students promoting better sleep?
   N-Miss 1
   Don’t know 5 (12.5%)
   No 15 (37.5%)
   Yes 20 (50.0%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 1
   N-Miss 6
   No 7 (20.0%)
   Not sure 25 (71.4%)
   Yes 3 (8.6%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 2
   N-Miss 5
   Not sure 18 (50.0%)
   Yes 18 (50.0%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 3
   N-Miss 6
   No 5 (14.3%)
   Not sure 28 (80.0%)
   Yes 2 (5.7%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 4
   N-Miss 6
   No 4 (11.4%)
   Not sure 26 (74.3%)
   Yes 5 (14.3%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 5
   N-Miss 6
   No 2 (5.7%)
   Not sure 26 (74.3%)
   Yes 7 (20.0%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 6
   N-Miss 6
   No 4 (11.4%)
   Not sure 30 (85.7%)
   Yes 1 (2.9%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 7
   N-Miss 6
   No 2 (5.7%)
   Not sure 29 (82.9%)
   Yes 4 (11.4%)
Were these materials were utilized in our #GoodnightBloomberg campaign? Picture 8
   N-Miss 6
   No 3 (8.6%)
   Not sure 30 (85.7%)
   Yes 2 (5.7%)
Have you talked to anyone about the #GoodnightBloomberg campaign?
   N-Miss 1
   No 31 (77.5%)
   Yes 9 (22.5%)
Do you know anyone who engaged in any way with the #GoodnightBloomberg campaign about promoting better sleep?
   N-Miss 1
   No 36 (90.0%)
   Yes 4 (10.0%)
Did you engage in any way with the #GoodnightBloomberg campaign led by JHSPH students during the past 2 weeks?
   N-Miss 1
   No 27 (67.5%)
   Yes 13 (32.5%)
In the last two weeks, how many days did you participate in the following techniques? Move 30 minutes total per day
   Median (Q1, Q3) 9.00 (5.00, 12.00)
In the last two weeks, how many days did you participate in the following techniques? Use a breathing exercise
   Median (Q1, Q3) 4.00 (2.00, 6.50)
In the last two weeks, how many days did you participate in the following techniques? Power down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed
   Median (Q1, Q3) 4.00 (2.00, 6.50)
Was the timing of the texts/posts convenient for you to adopt the recommended activity?
   N-Miss 14
   No 10 (37.0%)
   Yes 17 (63.0%)
I think I would have had a more successful outcome (e.g. better sleep quality) if (choose all that may apply):
   N-Miss 14
   I had more flexibility in my day 12 (44.4%)
   The campaign was longer 9 (33.3%)
   There was an in-person/on-campus component to the campaign 5 (18.5%)
   There were subject matter experts checking in with me one-on-one 1 (3.7%)
Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can maintain healthy sleep habits.
   N-Miss 3
   Not at all confident 6 (15.8%)
   Somewhat confident 23 (60.5%)
   Extremely confident 9 (23.7%)
Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can cut out screen use 1 hour before bed.
   N-Miss 3
   Not at all confident 19 (50.0%)
   Somewhat confident 11 (28.9%)
   Extremely confident 8 (21.1%)
Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can exercise for 30 minutes total each day.
   N-Miss 3
   Not at all confident 4 (10.5%)
   Somewhat confident 17 (44.7%)
   Extremely confident 17 (44.7%)
Please tell us how confident you feel practicing the following behaviors in order to get better sleep: I can participate in a breathing exercise during the day or before bed.
   N-Miss 2
   Not at all confident 4 (10.3%)
   Somewhat confident 24 (61.5%)
   Extremely confident 11 (28.2%)
Please rate your agreement with the following statements: Getting a good night’s sleep is important to me.
   N-Miss 3
   Strongly disagree 0 (0.0%)
   Somewhat disagree 0 (0.0%)
   Neither agree nor disagree 1 (2.6%)
   Somewhat agree 6 (15.8%)
   Strongly agree 31 (81.6%)
Please rate your agreement with the following statements: Having a regular sleep routine improves mental clarity/sharpness.
   N-Miss 2
   Strongly disagree 0 (0.0%)
   Somewhat disagree 0 (0.0%)
   Neither agree nor disagree 0 (0.0%)
   Somewhat agree 5 (12.8%)
   Strongly agree 34 (87.2%)
Please rate your agreement with the following statements: I feel positive about the quality of my sleep.
   N-Miss 3
   Strongly disagree 5 (13.2%)
   Somewhat disagree 6 (15.8%)
   Neither agree nor disagree 7 (18.4%)
   Somewhat agree 16 (42.1%)
   Strongly agree 4 (10.5%)
Please rate your agreement with the following statements: I think cutting out screen use 1 hour before bed leads to better sleep.
   N-Miss 2
   Strongly disagree 0 (0.0%)
   Somewhat disagree 1 (2.6%)
   Neither agree nor disagree 4 (10.3%)
   Somewhat agree 10 (25.6%)
   Strongly agree 24 (61.5%)
Please rate your agreement with the following statements: I think exercising regularly leads to better sleep.
   N-Miss 2
   Strongly disagree 0 (0.0%)
   Somewhat disagree 0 (0.0%)
   Neither agree nor disagree 2 (5.1%)
   Somewhat agree 8 (20.5%)
   Strongly agree 29 (74.4%)
Please rate your agreement with the following statements: I think participating in breathing exercises during the day or before bed leads to better sleep.
   N-Miss 2
   Strongly disagree 0 (0.0%)
   Somewhat disagree 0 (0.0%)
   Neither agree nor disagree 8 (20.5%)
   Somewhat agree 19 (48.7%)
   Strongly agree 12 (30.8%)
Please rate your agreement with the following statements: In the next two weeks, I will stop using screens 1 hour before bed for better sleep.
   N-Miss 4
   Strongly disagree 9 (24.3%)
   Somewhat disagree 7 (18.9%)
   Neither agree nor disagree 3 (8.1%)
   Somewhat agree 8 (21.6%)
   Strongly agree 10 (27.0%)
Please rate your agreement with the following statements: In the next two weeks, I will exercise for at least 30 minutes total each day for better sleep.
   N-Miss 3
   Strongly disagree 0 (0.0%)
   Somewhat disagree 2 (5.3%)
   Neither agree nor disagree 5 (13.2%)
   Somewhat agree 12 (31.6%)
   Strongly agree 19 (50.0%)
Please rate your agreement with the following statements: In the next two weeks, I will do a daily breathing exercise for better sleep.
   N-Miss 3
   Strongly disagree 4 (10.5%)
   Somewhat disagree 9 (23.7%)
   Neither agree nor disagree 8 (21.1%)
   Somewhat agree 9 (23.7%)
   Strongly agree 8 (21.1%) 
#If student
student <- sleephygiene %>% filter(Q3_role %in% c("Part-time student", "Full-time student"))

tab2 <- tableby(~ Q2_program,
                data=student, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab2, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=35)
What is your current program at Bloomberg?
   Doctoral Student 9 (25.7%)
   Masters Student 24 (68.6%)
   Other 1 (2.9%)
   Post-doctoral student 1 (2.9%) 
#If employed 
nonbloombergstudentemployed <- sleephygiene %>% filter(Q37_employed == "N/A - I am not a student at Bloomberg")

tab3 <- tableby(~ Q92_notSPHemployed,
                data=nonbloombergstudentemployed, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab3, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=4)
Are you currently employed?
   Yes 4 (100.0%) 
#If employed and not bloomberg
employed <- nonbloombergstudentemployed %>% filter(Q92_notSPHemployed == "Yes")

tab4 <- tableby(~ Q93_worksetting,
                data=employed, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab4, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=4)
Which of the following best describes your current work setting?
   I sometimes work at home and sometimes at another location 2 (50.0%)
   I work from home 2 (50.0%) 
#wfh not bloomberg
#wfhnotbloomberg <- nonbloombergstudentemployed %>% filter(Q93_worksetting == "I work in a location away from my home")

#tab5 <- tableby(~ Q94_dayornight,
#                data=wfhnotbloomberg, test=TRUE, total=TRUE, 
#                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
#summary(tab5, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)

#student at bloomberg
studentemployed <- student %>% filter(Q37_employed == "Yes")

tab6 <- tableby(~ Q38_worksetting,
                data=studentemployed, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab6, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=16)
Which of the following best describes your current work setting?
   I sometimes work at home and sometimes at another location 5 (31.2%)
   I work from home 9 (56.2%)
   I work in a location away from my home 2 (12.5%) 
studentemployedlocation <- student %>% filter(Q39_dayornight == "I work in a location away from my home")

#tab7 <- tableby(~ Q39_dayornight,
#                data=studentemployedlocation, test=TRUE, total=TRUE, 
#                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
#summary(tab7, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)


#Aware of how to improve sleep quality
awareofsleepqualityimprovements <- sleephygiene %>% filter(Q84_awareofhowtoimprovesleepquality == "Yes")

tab8 <- tableby(~ Q85_waystoimprovesleepquality,
                data=awareofsleepqualityimprovements, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab8, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=40)
What are some of the ways to improve sleep quality that you know?
   N-Miss 1
   Not drinking caffeinated beverages late in the day 37 (94.9%)
   Switching off electronics one hour before sleep 1 (2.6%)
   Try to sleep and wake at consistent times 1 (2.6%) 
#Talked to someone
talkedtosomeone <- sleephygiene %>% filter(Q95_talkedtoanyone == "Yes")

tab9 <- tableby(~ Q83_talkedtowho,
                data=talkedtosomeone, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab9, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=9)
Please indicate with whom you talked about #GoodnightBloomberg (check all that apply).
   N-Miss 1
   Colleague 1 (12.5%)
   Friends 5 (62.5%)
   Spouse 2 (25.0%) 
#engaged in any way
engagedwiththecampaign <- sleephygiene %>% filter(Q69_didyouengagewiththecampaign == "Yes")

tab10 <- tableby(~ Q62_howdidyouengage +
                   Q64_whichtechniquedidyoutry +
                   Q90_areyouhappywithyoursleepquality_awareofcampaign +
                   Q75_moving +
                   Q75_breathing +
                   Q75_powerdown,
                data=engagedwiththecampaign, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab10, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=13)
Please select which of the following parts of the #GoodnightBloomberg campaign you engaged in:
   N-Miss 1
   Instagram campaign 7 (58.3%)
   Text message campaign 5 (41.7%)
Which of the following techniques did you try at least once in the last 2 weeks (choose all that apply)?
   Breathe 2 (15.4%)
   Movemore 9 (69.2%)
   None of the above 1 (7.7%)
   Powerdown 1 (7.7%)
Are you happy with your sleep quality overall currently?
   No 7 (53.8%)
   Yes 6 (46.2%)
How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Moving 30 minutes total per day
   N-Miss 5
   Extremely unhelpful 0 (0.0%)
   Somewhat unhelpful 0 (0.0%)
   Neither helpful nor unhelpful 0 (0.0%)
   Somewhat helpful 6 (75.0%)
   Extremely helpful 2 (25.0%)
How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Using a breathing exercise
   N-Miss 7
   Extremely unhelpful 0 (0.0%)
   Somewhat unhelpful 0 (0.0%)
   Neither helpful nor unhelpful 3 (50.0%)
   Somewhat helpful 2 (33.3%)
   Extremely helpful 1 (16.7%)
How helpful did you find the following activities for getting better quality sleep in the past 2 weeks? Powering down your screens (i.e. cell phone, tablet, computer, TV) 1 hour before bed
   N-Miss 9
   Extremely unhelpful 0 (0.0%)
   Somewhat unhelpful 0 (0.0%)
   Neither helpful nor unhelpful 2 (50.0%)
   Somewhat helpful 1 (25.0%)
   Extremely helpful 1 (25.0%) 
#did not engagee in any way
noengagementwiththecampagin <- sleephygiene %>% filter(Q69_didyouengagewiththecampaign %in% c("No", "Don't know"))

tab11 <- tableby(~ Q91_areyouhappywithyoursleepquality_notawareofcampaign +
                   Q89_ratesleepquality_notawareofcampaign,
                data=noengagementwiththecampagin, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab11, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=27)
Are you happy with your sleep quality overall currently?
   N-Miss 8
   No 10 (52.6%)
   Yes 9 (47.4%)
Please rate your sleep quality from the following options: In the last two weeks? (on average)
   N-Miss 7
   Poor 3 (15.0%)
   Fair 6 (30.0%)
   Good 10 (50.0%)
   Excellent 1 (5.0%) 
#not convenient 
notconvenient <- sleephygiene %>% filter(Q68_timing == "No")

tab12 <- tableby(~ Q70_timingoftextsinconvenient,
                data=noengagementwiththecampagin, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab12, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=27)
Please provide information below about why the timing of the texts/posts was inconvenient?
   N-Miss 19
   Messages were too infrequent 2 (25.0%)
   Other (please explain below) 5 (62.5%)
   Received message too early in the day 1 (12.5%) 
#tooearlyintheday
tooearlyortoolate <- notconvenient %>% filter(Q70_timingoftextsinconvenient %in% c("Received message too early in the day", "Received message too late in the day"))

tab13 <- tableby(~ Q87_idealtime,
                data=tooearlyortoolate, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab13, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=1)
What would have been the ideal time to receive the message (EST/EDT)?
   Early morning (6:00 am - 9:00 am) 0 (0.0%)
   Late morning (9:01 am - 12:00 pm) 0 (0.0%)
   Early afternoon (12:01 pm - 3:00 pm) 0 (0.0%)
   Late afternoon (3:01 pm - 6:00 pm) 0 (0.0%)
   Early evening (6:01 pm - 9:00 pm) 1 (100.0%)
   Late evening (9:01 pm - 12:00 am) 0 (0.0%)
   Other (please specify) 0 (0.0%) 
#whichmosteducational
instagramortext <- engagedwiththecampaign %>% filter(Q62_howdidyouengage %in% c("Instagram", "Text message campaign"))

#tab14 <- tableby(~ Q71_whichchannelmosteducational +
#                   Q72,
#                data=instagramortext, test=TRUE, total=TRUE, 
#                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
#summary(tab14, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)

#instagram
instagram <- engagedwiththecampaign %>% filter(Q62_howdidyouengage == "Instagram campaign")

tab15 <- tableby(~ Q74_rafflemotivating,
                data=instagram, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab15, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=7)
Did you find the raffles motivating for participation in the #GoodnightBloomberg campaign?
   No 1 (14.3%)
   Yes 6 (85.7%) 
#seenorheardofthecampiagn
seenordheard <- sleephygiene %>% filter(Q81_seenorheardfromGNbloombergcampaign == "Yes")

tab16 <- tableby(~ Q81_seenorheardfromGNbloombergcampaign,
                data=seenordheard, test=TRUE, total=TRUE, 
                numeric.stats=c("medianq1q3"), numeric.test="kwt", cat.test="chisq")
summary(tab16, title='Table 1. Baseline information', pfootnote=TRUE, digits = 2)
Table 1. Baseline information
Overall (N=20)
In the last two-three weeks have you heard, seen, or received any information from the #GoodnightBloomberg campaign led by JHSPH students promoting better sleep?
   Don’t know 0 (0.0%)
   No 0 (0.0%)
   Yes 20 (100.0%) 
mylogit <- glm(compositeoutcomegoodsleepbinary_badsleep ~ Q4_gender_binary + Q6_numberinhousehold + Q11_weekendhoursofsleep + Confidence + Workoutregularly + Showering + Guilty + Sad + Social.Media.Use, family = binomial(link = "logit"), data = analysisdata)
tab_model(mylogit)